Scholarship

Teaching and Pedagogy

1. Cipolli, W., Dalzell, N.M., Bower, R., Evans, C.. Battle of the bands: Trying to identify contributions to a collaboration (Under review)

   • Resources: Data, activities, and code

2. Evans, C., Reinhart, A., Cooley, E., Cipolli, W. Learning while learning: Psychology case studies for teaching regression (Under review)

3. Evans, C., Cipolli, W., Binfet, J.T., Draper, Z.A. (2023) Repurposing a peer-reviewed publication to engage students in statistics: an illustration of study design, data collection, and analysis. Journal of Statistics and Data Science Education, 31:3, 236-247. DOI: 10.1080/26939169.2023.2238018.

   • Activity: Reading a Research Paper

4. Dalzell, N.M., Evans, C. (2023) Increasing student access to and readiness for statistical competitions. Journal of Statistics and Data Science Education, 31:3, 258-263. DOI: 10.1080/26939169.2023.2167750.

   • Resources for other instructors: https://datafest-prep.github.io/

5. Evans, C. (2022) Regression, transformations, and mixed-effects with marine bryozoans. Journal of Statistics and Data Science Education, 30:2, 198-206. DOI: 10.1080/26939169.2022.2074923.

   • Activity: Reading a Research Paper

6. Reinhart, A., Evans, C., Luby, A., Orellana, J., Meyer, M., Wieczorek, J., Elliott, P., Burckhardt, P., Nugent, R. (2022) Think-aloud interviews: A tool for exploring student statistical reasoning. Journal of Statistics and Data Science Education, 30:2, 100-113, DOI: 10.1080/26939169.2022.2063209.

Statistical methodology and applications

1. Evans, C., Berenhaut, K.S. (2024) Two-sample testing with local community depth. International Journal of Data Science and Analytics. https://doi.org/10.1007/s41060-024-00606-w

   • R package: depthtestr, an R package for two-sample hypothesis testing using data depth. https://github.com/ciaran-evans/depthtestr

2. Lu, B., Li, Y., Evans, C. Assessing generalizability of a dengue classifier across multiple datasets. (Revise and resubmit) https://www.biorxiv.org/content/10.1101/2023.07.17.549435v2

3. Evans, C., G’Sell, M. Sequential label shift detection in classification data: An application to dengue fever. (accepted, PLOS One) https://arxiv.org/abs/2009.08592

4. Zimmerman, K. D., Evans, C., Langefeld, C. D. (2022). Reply to: A balanced measure shows superior performance of pseudobulk methods in single-cell RNA-sequencing analysis. Nature Communications, 13(1), 1-2. DOI: 10.1038/s41467-022-35520-x

5. Evans, C., Weinberg, Z., Puthenveedu, M. G’Sell, M. M. Inference with generalizable classifier predictions. https://arxiv.org/abs/2106.07623

6. Evans, C., Hardin, J., Stoebel, D. Selecting between-sample RNA-Seq normalizationmethods from the perspective of their assumptions. Briefings in Bioinformatics, 19(5): 776-792, 2018. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6171491/pdf/bbx008.pdf

7. Wong, G., Bonocora, R., Schep, A., Beeler, S., Lee, A., Shull, L., Batachari, L., Dillon, M., Evans, C., Becker, C., Bush, E., Hardin, J., Wade, J., and Stoebel, D. The genome-wide transcriptional response to varying RpoS levels in Escherichia coli K-12. Journal of Bacteriology, 199:e00755-16, 2017. http://biorxiv.org/content/early/2016/10/21/082537

Selected Presentations

1. Evans, C., Cipolli, W. “Repurposing a peer-reviewed publication to engage students in statistics: An illustration of study design, data collection, and analysis.’” (September 2023, invited webinar) Consortium for the Advancement of Undergraduate Statistics Education / Journal of Statistics and Data Science Education webinar series. https://www.causeweb.org/cause/webinar/jsdse/2023-09

2. Evans, C. “Teaching with data about college experiences.” (August 2023, invited session) Joint Statistical Meetings 2023, Toronto, CA.

3. Reinhart, A., Evans, C., Luby, A. “Think-Aloud Interviews: A Tool for Exploring Student Statistical Reasoning.” (June 2022, invited webinar) Consortium for the Advancement of Undergraduate Statistics Education/ Journal of Statistics and Data Science Education webinar series. https://www.causeweb.org/cause/webinar/jsdse/2022-06

4. Dalzell, N.M., Evans, C. “Increasing accessibility and student readiness for statistical competitions.” (May 2022). Breakout session, Electronic Conference on Teaching Statistics (eCOTS) 2022

5. Evans, C., Reinhart, A., Burckhardt, P., Nugent, R., Weinberg, G. “Exploring how students reason about correlation and causation.” (May 2020) Electronic Conference on Teaching Statistics (eCOTS) 2020. https://www.causeweb.org/cause/ecots/ecots20/posters/2-03

6. Evans, C., Burckhardt, P., Nugent, R., Weinberg, G. “Discipline-specific activities in introductory statistics.” (May 2020) Electronic Conference on Teaching Statistics (eCOTS) 2020. https://www.causeweb.org/cause/ecots/ecots20/posters/1-01

7. Meyer, M., Evans, C. “Introducing think-aloud interviews as a tool to explore student statistical reasoning.” (December 2019, invited webinar) CAUSE webinar series. https://www.causeweb.org/cause/webinar/teaching/2019-12